System, method, apparatus, and computer program product for persona based gift searches for all occasions

1. A method for ordering a gift through an online gift selection platform, comprising:

storing, in a data repository, a plurality of user transactions with an item on the online gift selection platform as a raw transaction data;

wrangling the raw transaction data into a structure and a format as a learning input to a machine learning (ML) model to represent each item and each user by a unique embedding, represented as an array, associated with each item and each user;

learning in the ML model from the unique embedding a set of values representative of a user and a user item preference;

displaying a plurality of personas on a user interface, each of the plurality of personas represented by a distinct avatar corresponding to a psychological image correlation meaning of an intended gift recipient;

receiving a persona selection corresponding to an intended gift recipient;

applying a plurality of persona definition characteristics for the persona selection as an input to the ML model; and

displaying a plurality of gift recommendations on the user interface, wherein each of the plurality of gift recommendations is based on a matching of the ML model.

2. The method of claim 1 , further comprising:

returning a link to each of the plurality of gift recommendations; and

presenting the link to each of the plurality of gift recommendations in a gift selection interface.

3. The method of claim 1 , further comprising:

decomposing the plurality of user transactions with a scoring and a ranking through a matrix factorization.

4. The method of claim 1 , wherein the plurality of user transactions is selected from the group consisting of: a purchase of the item; an adding of the item to a cart; an adding of the item to a wish list; a linking to the item; and a disliking of the item.

5. The method of claim 1 , further comprising:

comparing the plurality of gift recommendations with an actual transaction of the user; and

weighting the array responsive to the actual transaction.

6. The method of claim 1 , further comprising:

providing a persona control operable to invoke a persona definition interface; and

presenting in the persona definition interface the plurality of persona definition characteristics for the persona selection.

7. The method of claim 6 , further comprising:

receiving, via the persona definition interface, a refinement of the persona definition characteristics for the intended gift recipient.

8. A computerized system for ordering a gift through an online gift selection platform, the computerized system comprising:

a computer having a user interface; and

a program product comprising machine-readable program code for causing, when executed, the computer to perform the following process steps:

storing, in a data repository, a plurality of user transactions with an item on the online gift selection platform as a raw transaction data;

wrangling the raw transaction data into a structure and a format as a learning input to a machine learning (ML) model to represent each item and each user by a unique embedding, represented as an array, associated with each item and each user;

learning in the ML model from the unique embedding a set of values representative of a user and a user item preference;

displaying a plurality of personas on a user interface, each of the plurality of personas represented by a distinct avatar corresponding to a psychological image correlation meaning of an intended gift recipient;

receiving a persona selection corresponding to an intended gift recipient;

applying a plurality of persona definition characteristics for the persona selection as an input to the ML model; and

displaying a plurality of gift recommendations on the user interface, wherein each of the plurality of gift recommendations is based on a matching of the ML model.

9. The computerized system of claim 8 , further comprising:

returning a link to each of the plurality of gift recommendations; and

presenting the link to each of the plurality of gift recommendations in a gift selection interface.

10. The computerized system of claim 8 , further comprising:

decomposing the plurality of user transactions with a scoring and a ranking through a matrix factorization.

11. The computerized system of claim 8 , wherein the plurality of user transactions is selected from the group consisting of: a purchase of the item; an adding of the item to a cart; an adding of the item to a wish list; a linking to the item; and a disliking of the item.

12. The computerized system of claim 8 , further comprising:

comparing the plurality of gift recommendations with an actual transaction of the user; and

weighting the array responsive to the actual transaction.

13. The computerized system of claim 8 , further comprising:

providing a persona control operable to invoke a persona definition interface; and

presenting in the persona definition interface the plurality of persona definition characteristics for the persona selection.

14. The computerized system of claim 13 , further comprising:

receiving, via the persona definition interface, a refinement of the persona definition characteristics for the intended gift recipient.

15. A computer program product comprising machine-readable program code stored in a non-transient storage medium for causing, when executed, a computer to perform the following process steps:

storing, in a data repository, a plurality of user transactions with an item on an online gift selection platform as a raw transaction data;

wrangling the raw transaction data into a structure and a format as a learning input to a machine learning (ML) model to represent each item and each user by a unique embedding, represented as an array, associated with each item and each user;

learning in the ML model from the unique embedding a set of values representative of a user and a user item preference;

displaying a plurality of personas on a user interface, each of the plurality of personas represented by a distinct avatar corresponding to a psychological image correlation meaning of an intended gift recipient;

receiving a persona selection corresponding to an intended gift recipient;

applying a plurality of persona definition characteristics for the persona selection as an input to the ML model; and

displaying a plurality of gift recommendations on the user interface, wherein each of the plurality of gift recommendations is based on a matching of the ML model.

16. The computer program product of claim 15 , further comprising:

returning a link to each of the plurality of gift recommendations; and

presenting the link to each of the plurality of gift recommendations in a gift selection interface.

17. The computer program product of claim 15 , further comprising:

decomposing the plurality of user transactions with a scoring and a ranking through a matrix factorization.

18. The computer program product of claim 15 , wherein the plurality of user transactions is selected from the group consisting of: a purchase of the item; an adding of the item to a cart; an adding of the item to a wish list; a linking to the item; and a disliking of the item.

19. The computer program product of claim 15 , further comprising:

comparing the plurality of gift recommendations with an actual transaction of the user; and

weighting the array responsive to the actual transaction.

20. The computer program product of claim 15 , further comprising:

providing a persona control operable to invoke a persona definition interface;

presenting in the persona definition interface the plurality of persona definition characteristics for the persona selection.